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Clinical Article
The effect caused by interictal epileptic discharges on mesial temporal lobe epilepsy brain networks
WU Han  ZHANG Zhi-qiang  XU Qiang  ZHANG Qi-rui  CHEN Guang-hui  YANG Fang  SUN Kang-jian  LU Guang-ming 

DOI:10.3969/j.issn.1674-8034.2015.11.001.


[Abstract] Objective: To comprehensively assess the alterations of resting-state brain networks affected by interictal epileptic discharges (IEDs) in mesial temporal lobe epilepsy (mTLE), and to reveal the mechanism of brain function damages caused by IEDs in mTLE.Materials and Methods: Forty-five patients with bilateral mTLE underwent continuous EEG-fMRI during rest. Finally 35 fMRI sessions (left mTLE, n=18) with IEDs and individually paired non-IEDs sessions were acquired. Independent component analysis was used to investigate the alterations in different states of seven resting-state networks including the core network, dorsal attention network, executive control network, anterior and posterior default mode network, auditory network, visual network and sensorimotor network.Results: Paired t-test results showed, compared with non-IEDs state, the anterior cingulum cortex in core network showed increased coherence of brain activity and the auditory network showed decreased activity in both groups of mTLE. Apart from this, superior parietal gyrus in dorsal attention network showed reverse performance when the epileptic focus located in different sides of the brain. While it increased in left mTLE, but decreased in right mTLE. The middle temporal gyrus and post cingulum in posterior default mode network showed increased activity, while the middle frontal gyrus in anterior default mode network showed decreased activity in IEDs state in right mTLE. The middle cingulum in executive control network and middle occipital gyrus in visual network showed increased coherence of brain activity in left mTLE. And the changed mean connectivity strength in visual network of left mTLE and auditory network of right mTLE were positively correlated with the number of IEDs.Conclusions: This study revealed IEDs in mTLE have an extensive impact in the resting-state brain networks, especially for the networks damage involved in higher cognitive functions of the brain. This study was expected to contribute to further understanding of the mechanism of brain functional injury in mTLE.
[Keywords] Epilepsy, temporal lobe;Electroencephalography phase synchronization;Magnetic resonance imaging;Seizures

WU Han Department of Medical Imaging, Nanjing General Hospital of Nanjing Military Command, Nanjing University, Nanjing 210002, China

ZHANG Zhi-qiang Department of Medical Imaging, Nanjing General Hospital of Nanjing Military Command, Nanjing University, Nanjing 210002, China

XU Qiang Department of Medical Imaging, Nanjing General Hospital of Nanjing Military Command, Nanjing University, Nanjing 210002, China

ZHANG Qi-rui Department of Medical Imaging, Nanjing General Hospital of Nanjing Military Command, Nanjing University, Nanjing 210002, China

CHEN Guang-hui Department of Neurology, Nanjing General Hospital of Nanjing Military Command, Nanjing University, Nanjing 210002, China

YANG Fang Department of Neurology, Nanjing General Hospital of Nanjing Military Command, Nanjing University, Nanjing 210002, China

SUN Kang-jian Department of Neurosurgery, Nanjing General Hospital of Nanjing Military Command, Nanjing University, Nanjing 210002, China

LU Guang-ming* Department of Medical Imaging, Nanjing General Hospital of Nanjing Military Command, Nanjing University, Nanjing 210002, China

*Correspondence to: Lu GM, E-mail: cjr.luguangming@vip.163.com

Conflicts of interest   None.

ACKNOWLEDGMENTS  This article research work obtained the National Natural Sciences Foundation of China project subsidization No. 81271553
Received  2015-07-30
Accepted  2015-09-12
DOI: 10.3969/j.issn.1674-8034.2015.11.001
DOI:10.3969/j.issn.1674-8034.2015.11.001.

[1]
Bonilha L, Edwards JC, Kinsman SL, et al. Extrahippocampal gray matter loss and hippocampal deafferentation in patients with temporal lobe epilepsy. Epilepsia, 2010, 51(4): 519-528.
[2]
卢光明,张志强.癫痫多模态磁共振成像研究进展.磁共振成像,2014, 5(增刊1): 43-45.
[3]
Cataldi M, Avoli M, Villers-Sidani E. Resting state networks in temporal lobe epilepsy. Epilepsia, 2013, 54(12): 2048-2059.
[4]
季公俊,廖伟,张志强,等.全面强直阵挛癫痫静息态功能连接脑网络研究.磁共振成像, 2013, 4(1): 8-12.
[5]
Mantini D, Corbetta M, Perrucci MG, et al. Large-scale brain networks account for sustained and transient activity during target detection. Neuroimage, 2009, 44(1): 265-274.
[6]
George B, Phan L, Michael IP. Cognitive and emotional influences in anterior cingulate cortex. Trends Cogn Sci, 2000, 4(6): 215-222.
[7]
Sanfey AG, Rilling JK, Aronson JA, et al. The neural basis of economic decision-making in the ultimatum game. Sciences, 2003, 300(5626): 1755-1758
[8]
Ehrle N, Samson S, Baulac M. Processing of rapid auditory information in epileptic patients with left temporal lobe damage. Neuropsychologia, 2001, 39(5): 525-531.
[9]
Hamberger MJ, McClelland S, McKhann GM, et al. Distribution of auditory and visual naming sites in nonlesional temporal lobe epilepsy patients and patients with space-occupying temporal lobe lesions. Epilepsia, 2007, 48(3): 531-538.
[10]
Corbetta M, Shulman GL. Control of goal-directed and stimulus-driven attention in the brain. Nature Reviews Neuroscience, 2002, 3(3): 201-215.
[11]
杨志根,王惠南,张志强,等.基于ICA的颞叶癫痫背侧注意网络的研究.生物医学工程学杂志, 2010, 27(1): 10-15
[12]
Burgess N, Maguire EA, O'Keefe J. The human hippocampus and spatial and episodic memory. Neuron, 2002, 35(4): 625-641.
[13]
Zhang ZQ, Lu GM, Zhong Y, et al. Altered spontaneous neuronal activity of the default-mode network in mesial temporal lobe epilepsy. Brain Res, 2010, (1323): 152-160.
[14]
Nahla LF, Hana B, Marcus G, et al. Identification of pre-spike network in patients with mesial temporal lobe epilepsy. Fron Neurol, 2014, (5): 1-8.
[15]
Kobayashi E, Bagshaw AP, Benar CG, et al. Temporal and extratemporal BOLD responses to temporal lobe interictal spikes. Epilepsia, 2006, 47(2): 343-354.
[16]
Pittau F, Fahoum F, Zelmann R, et al. Negative BOLD response to interictal epileptic discharges in focal epilepsy. Brain Topogr, 2013, 26(4): 627-640.
[17]
Fransson P, Marrelec P. The precuneus/posterior cingulate cortex plays a pivotal role in the default mode network: evidence from a partial correlation network analysis. Neuroimage, 2008, 42(3): 1178-1184.
[18]
Turken AU, Dronkers NF. The neural architecture of the language comprehension network: converging evidence from lesion and connectivity analyses. Front Syst Neurosci, 2011, (5): 1.
[19]
Bonilha L, Elm JJ, Edwards JC, et al. How common is brain atrophy in patients with medial temporal lobe epilepsy? Epilepsia, 2010, 51(9): 1774-1779.
[20]
Bouilleret V, Semah F, Chassoux F, et al. Basal ganglia involvement in temporal lobe epilepsy: a functional and morphologic study. Neurology, 2008, 70(3): 177-184.
[21]
Keller SS, Baker G, Downes JJ, et al. Quantitative MRI of the prefrontal cortex and executive function in patients with temporal lobe epilepsy. Epilepsy Behav, 2009, 15(2): 186-195.
[22]
Nelissen N, Paesschen WV, Baete K, et al. Correlations of interictal FDG-PET metabolism and ictal SPECT perfusion changes in human temporal lobe epilepsy with hippocampal sclerosis. Neuroimage, 2006, 32(2): 684-695.
[23]
Vlooswijk MC, Jansen JF, Jeukens CR, et al. Memory processes and prefrontal network dysfunction in cryptogenic epilepsy. Epilepsia, 2011, 52(8): 1467-1475.
[24]
Zhang Z, Lu G, Zhong Y, et al. Impaired perceptual networks in temporal lobe epilepsy revealed by resting fMRI. J Neurol, 2009, 256(11): 1705-1713.

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